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» Planning, Execution and Learning in a Robotic Agent
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EAAI
2006
78views more  EAAI 2006»
13 years 8 months ago
Roboskeleton: An architecture for coordinating robot soccer agents
SkeletonAgent is an agent framework whose main feature is to integrate different artificial intelligent skills, like planning or learning, to obtain new behaviours in a multi-agen...
David Camacho, Fernando Fernández, Miguel A...
ATAL
2010
Springer
13 years 9 months ago
Learning context conditions for BDI plan selection
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. In particular, the so-calle...
Dhirendra Singh, Sebastian Sardiña, Lin Pad...
AAAI
2010
13 years 10 months ago
Integrating a Closed World Planner with an Open World Robot: A Case Study
In this paper, we present an integrated planning and robotic architecture that actively directs an agent engaged in an urban search and rescue (USAR) scenario. We describe three s...
Kartik Talamadupula, J. Benton, Paul W. Schermerho...
ICRA
1999
IEEE
183views Robotics» more  ICRA 1999»
14 years 26 days ago
Agent-Based Planning and Control of a Multi-Manipulator Assembly System
This paper presents a distributed planning and control architecture for autonomous Multi-Manipulator Systems (MMS). The control architecture is implemented using an agent-based ap...
Juan C. Fraile, Christiaan J. J. Paredis, Pradeep ...
LPAR
2001
Springer
14 years 1 months ago
Local Conditional High-Level Robot Programs
When it comes to building robot controllers, highlevel programming arises as a feasible alternative to planning. The task then is to verify a high-level program by finding a lega...
Sebastian Sardiña